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Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds

Overview of attention for article published in Forests (19994907), March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
18 tweeters

Citations

dimensions_citation
186 Dimensions

Readers on

mendeley
474 Mendeley
Title
Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds
Published in
Forests (19994907), March 2016
DOI 10.3390/f7030062
Authors

Luke Wallace, Arko Lucieer, Zbyněk Malenovský, Darren Turner, Petr Vopěnka

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 474 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Canada 2 <1%
Australia 2 <1%
United Kingdom 1 <1%
Italy 1 <1%
Denmark 1 <1%
Netherlands 1 <1%
Unknown 462 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 109 23%
Student > Ph. D. Student 107 23%
Researcher 81 17%
Student > Bachelor 46 10%
Student > Doctoral Student 19 4%
Other 67 14%
Unknown 45 9%
Readers by discipline Count As %
Environmental Science 147 31%
Earth and Planetary Sciences 89 19%
Agricultural and Biological Sciences 76 16%
Engineering 55 12%
Computer Science 19 4%
Other 21 4%
Unknown 67 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 August 2017.
All research outputs
#1,118,600
of 13,073,633 outputs
Outputs from Forests (19994907)
#73
of 1,373 outputs
Outputs of similar age
#32,691
of 264,744 outputs
Outputs of similar age from Forests (19994907)
#2
of 32 outputs
Altmetric has tracked 13,073,633 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,373 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,744 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.